AQMesh PM (v3.0) - Gas (v5.1)

General Description

The AQMesh (v5.1 for gases and v3.0 for particulate matter) is a small-sensor air quality monitoring system that provides real-time measurements of gases (NO, NO₂, O₃, CO, SO₂, H₂S and CO₂) and particulate matter (PM_1.0, PM_2.5 and PM­₁₀) mass concentrations, and environmental parameters such as pressure, temperature and relative humidity. The AQMesh pods can be specified to monitor a single gas or up to 6 gases as well as PM measurements. The AQMesh pods tested at AQ-SPEC are equipped with 5 gases (NO, NO₂, (NO_x = NO + NO₂), O₃, CO and SO₂) and a PM sensor with a heated inlet. The raw sensor signals are transmitted to a secure cloud server where the raw output is processed. Data processing includes mathematical processing that accounts for cross-gas effects and environmental factor compensation. Data can be accessed through a secure web log in.  

Principle of Operation

The AQMesh pods use electrochemical sensors with a fourth electrode to increase stability and combat drift for gas measurements. The measurement principle of the particulate matter sensor is based on laser scattering to convert particle number in different size bins to mass concentrations through its proprietary algorithm.

Features

• Dimensions: 430 (H) x 220 (W) x 170 (L) mm (including antenna)
• Weight: 2 – 2.7 kg
• Power supply: Yes, external DC, 9 – 24V DC; solar power optional
• Battery: Yes, options including internal and external lithium battery, rechargeable NiMH battery
• Clock function: Yes
• Sampling mechanism: Pump
• Environmental operating conditions: -20 - 40°C and 15 - 95% RH
• Internal data logging: Yes (cannot be accessed except through cloud)
• Data communication: 3G cellular
• Data logging/retrieval: Raw data is transmitted to a secure cloud server and processed to give indicative concentrations, database storage on cloud, data can be accessed and downloaded via cloud
• Weatherproof: Yes

Applications

• Smart cities
• Site perimeter and fence line monitoring
• Urban hot spot identification
• Traffic monitoring
• Local air quality monitoring around schools

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